Jason B. Nikas
- Molecular Biology
- Cancer Research top 10%
- Oncology
- Epidemiology
- Virology top 5%
- Co-authors
- Michael A. CarpenterNatalia TretyakovaWilliam L. BrownEmily K. LawAllison M. LandDelshanee KotandeniyaRebecca M. McDougleBrandon Leonard
- Topics
- Mitochondrial Function and Pathology (3 papers)Ferroptosis and cancer prognosis (3 papers)Genetic Neurodegenerative Diseases (3 papers)
- Partner nations
- United StatesGreeceChina
In The Last Decade
Jason B. Nikas
17 papers receiving 866 citations
Hit Papers
Peers
Comparison fields: 5 of 87
- Molecular Biology 594
- Cancer Research 295
- Oncology 190
- Epidemiology 122
- Virology 97
Countries citing papers authored by Jason B. Nikas
This map shows the geographic impact of Jason B. Nikas's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jason B. Nikas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason B. Nikas more than expected).
Fields of papers citing papers by Jason B. Nikas
This network shows the impact of papers produced by Jason B. Nikas. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jason B. Nikas. The network helps show where Jason B. Nikas may publish in the future.
Co-authorship network of co-authors of Jason B. Nikas
This figure shows the co-authorship network connecting the top 25 collaborators of Jason B. Nikas. A scholar is included among the top collaborators of Jason B. Nikas based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jason B. Nikas. Jason B. Nikas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | 11 | |
| 3 | 12 | |
| 4 | Independent validation of a mathematical genomic model for survival of glioma patients. | 12 |
| 5 | A common variant in MTHFR influences response to chemoradiotherapy and recurrence of rectal cancer. | 6 |
| 6 | A mathematical model for short-term vs. long-term survival in patients with glioma. | 12 |
| 7 | APOBEC3B is an enzymatic source of mutation in breast cancerbreakdown → | 639 |
| 8 | 24 | |
| 9 | 2 | |
| 10 | 15 | |
| 11 | 18 | |
| 12 | 9 | |
| 13 | 21 | |
| 14 | ROC-supervised principal component analysis in connection with the diagnosis of diseases. | 17 |
| 15 | 12 | |
| 16 | 59 | |
| 17 | 5 |
About Jason B. Nikas
Jason B. Nikas is a scholar working on Cancer Research, Biological Psychiatry and Virology, having authored 17 papers that have together received 892 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (3 papers), Ferroptosis and cancer prognosis (3 papers) and Genetic Neurodegenerative Diseases (3 papers). The work is most often cited by research in Virology (97 citations), Cancer Research (295 citations) and Molecular Biology (594 citations). Jason B. Nikas has collaborated with scholars based in United States, Greece and China. Frequent co-authors include Michael A. Carpenter, Natalia Tretyakova, William L. Brown, Emily K. Law, Allison M. Land, Delshanee Kotandeniya, Rebecca M. McDougle, Brandon Leonard, Reuben S. Harris and Anurag S. Rathore. Their work appears in journals such as Nature, The Journal of Comparative Neurology and Scientific Reports.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.